Application of association rule algorithm in intelligent manufacturing of mechanical manufacturing and automation specialty

Jia Shi; Jia Zhao; Fengbo Liu

doi:10.1117/12.2671707

21 March 2023 Application of association rule algorithm in intelligent manufacturing of mechanical manufacturing and automation specialty

Jia Shi, Jia Zhao, Fengbo Liu

Author Affiliations +

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126092M (2023) https://doi.org/10.1117/12.2671707
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

Due to the maturity of database technology and the increase of data applications, the total amount of data stored by people has increased exponentially. Due to the rapid increase of the total amount of information, once there is no reasonable way to obtain useful information and knowledge in computer and information technology, network information will become a mess. Faced with this challenge, data mining technology came into being. This paper studies the application of association rule algorithm in intelligent manufacturing of mechanical manufacturing and automation majors. The management system is designed, and the association rule algorithm applied in the design is tested. Through the test results, it is concluded that the running time of the improved algorithm is much shorter than that of the Aprior algorithm, and the difference of the total time will also vary with the newly added data. The number of episodes increases and becomes larger. Therefore, in some fields where the database needs to be updated frequently, the IUAC algorithm shows obvious advantages.

Citation Download Citation

Jia Shi, Jia Zhao, and Fengbo Liu "Application of association rule algorithm in intelligent manufacturing of mechanical manufacturing and automation specialty", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126092M (21 March 2023); https://doi.org/10.1117/12.2671707

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